What is IDP
Intelligent Document Processing (IDP) turns incoming documents into usable data and routed work. It identifies the document type, extracts key fields, validates them, assigns a confidence score, and either routes the result forward or sends it to a human review queue.
Why healthcare teams get stuck with documents
Healthcare runs on packets, forms, attachments, and scanned pages. The problem is not access. The problem is manual handling.
Common pain points you see every week
- Backlogs from referral packets and intake forms
- Delays from prior authorization documentation
- Claim attachment work that requires sorting and rework
- AP invoices that get stuck waiting on coding or approval
- Records requests that require fast turnaround and accuracy
- Mixed document packets that do not file cleanly by patient
Scanning and indexing are not enough
OCR makes text searchable. Indexing adds tags so someone can find the file later.
Intelligent Document Processing in healthcare is different. It decides what the document is and what should happen next.
How Intelligent Document Processing works in healthcare
Step 1. Intake from real sources
Documents arrive from scanners, monitored email inboxes, SharePoint folders, EDI exchanges, and digital fax feeds.
Step 2. Identify the document type
The system classifies the document. Examples include referral, consent form, claim attachment, invoice, or medical record request.
Step 3. Extract the fields that matter
The system pulls structured data. Examples include patient name, MRN, DOB, provider name, date of service, invoice number, total amount, and case identifiers.
Step 4. Validate with guardrails
Validation checks help prevent bad routing. Examples include required fields present, values in range, and fuzzy matching to handle imperfect scans and near matches.
Step 5. Confidence scoring and exception handling
High confidence routes automatically to the next step.
Low confidence routes to a human review queue.
Step 6. Route and store in your environment
Documents can remain in OnBase or whatever platform you use.
Data can be pushed downstream to the right workflow or system of record. RPA can bridge gaps when a direct integration is not available.
Why “human review” is a strength
Healthcare documents are messy. A safety net is not optional.
When confidence is low, a specialist validates the result so the work does not stall and the record stays accurate.
Where IDP creates measurable wins
- Faster turnaround time on document driven processes
- Lower error rate and fewer reworks
- Reduced time spent sorting, indexing, and filing
- Better SLA performance for intake and records requests
- Cleaner data flowing into the systems you already run
How to pick the first workflow to automate
Choose one workflow with:
- High volume
- Repeatable document types
- Clear routing rules
- A painful backlog today
- A defined destination system for the data
Good starters in healthcare
- Referral intake
- Prior authorization packets
- Claims attachments handling
- AP invoice intake and coding support
- Records release processing
If you want to see if IDP fits your workflow, bring one real packet and your current process map. We will show you where confidence scoring routes work automatically and where humans should validate exceptions.
FAQ
What is the difference between OCR, indexing, and IDP?
OCR makes text readable by a machine. Indexing adds tags to help you search and retrieve. IDP identifies the document type, extracts key data, validates it, and routes the work forward with confidence scoring and exception handling.
Does IDP replace OnBase?
No. IDP can work with OnBase or whatever platform you use. It improves what happens before storage and what happens after intake by routing data and documents to the right next step.
What happens when the system is not sure?
Low confidence items go to a human validation queue. A specialist reviews and confirms the data before it is filed or routed.
Can IDP handle documents from email and SharePoint?
Yes. IDP can process documents from monitored inboxes and SharePoint drop folders, along with scans, EDI, and digital fax feeds.
What should we measure to prove ROI?
Start with baseline metrics like turnaround time, error rate, backlog volume, touch time per document, and percent straight through processing versus exceptions.
LEARN MORE:
Digital Mailroom, Document Scanning, OnBase Support, RPA Services
Key Takeaways
- Intelligent document processing healthcare transforms incoming documents into usable data and routes work efficiently.
- Healthcare teams struggle with document management due to manual handling and delays in processing.
- IDP automates document classification, data extraction, validation, and routing with confidence scoring for efficiency.
- Choose workflows with high volume and pain points to automate, such as referral intake and claims attachments.
- IDP enhances existing systems like OnBase by improving document routing and data handling before storage.
Pingback: IDP Local Government: Understanding Its Role - Onsite Management Group